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Wang, Faming; Wang, Yehui; Liu, Yaping; Leung, Shing On – Scandinavian Journal of Educational Research, 2023
The importance of the opportunity to learn (OTL) for mathematics achievement has been extensively researched. However, there were still unanswered questions regarding OTL's measurement, analytical level, and relationship with motivational beliefs. To fill in the gaps, we aimed to (1) scrutinize the reliability and validity of OTL, (2) investigate…
Descriptors: International Assessment, Foreign Countries, Achievement Tests, Secondary School Students
Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2018
Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as well as different strategies for including auxiliary variables at Level 1 using either their manifest or their latent cluster means. We show with…
Descriptors: Statistical Analysis, Data, Comparative Analysis, Hierarchical Linear Modeling
Atas, Dogu; Karadag, Özge – Journal of Language and Linguistic Studies, 2017
In the field of education, most of the data collected are multi-level structured. Cities, city based schools, school based classes and finally students in the classrooms constitute a hierarchical structure. Hierarchical linear models give more accurate results compared to standard models when the data set has a structure going far as individuals,…
Descriptors: Hierarchical Linear Modeling, Foreign Countries, Achievement Tests, International Assessment
Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
Analyzing the Achievement and Isolation of Immigrant and U.S.-Born Students: Insights from PISA 2012
Powers, Jeanne M.; Pivovarova, Margarita – Educational Policy, 2017
The 2016 Presidential election and the first months of the Trump administration have propelled immigration to the center of U.S. political debates. We use data from the Programme for International Student Assessment (PISA) 2012 to provide insights into the school experiences of high school-age immigrants and their U.S.-born peers. Our findings…
Descriptors: Immigrants, Academic Achievement, International Assessment, High School Students
Yalçin, Seher – International Journal of Evaluation and Research in Education, 2017
The purpose of this study was to examine the differences between Turkish and Dutch students' mathematics achievement and to examine the predictive level of teacher behaviours for student performance. The participants were 3210 students and principals from 168 schools in Turkey and 2541 students and principals from 156 schools in the Netherlands,…
Descriptors: Teacher Behavior, Teacher Student Relationship, Mathematics Achievement, Comparative Analysis
Han, Seong Won; Borgonovi, Francesca; Guerriero, Sonia – American Educational Research Journal, 2018
This study examines between-country differences in the degree to which teachers' working conditions, salaries, and societal evaluations about desirable job characteristics are associated with students' teaching career expectations. Three-level hierarchical generalized linear models are employed to analyze cross-national data from the Programme for…
Descriptors: High School Students, Teaching (Occupation), Vocational Interests, Career Choice
Yang, Ji Seung; Cai, Li – Journal of Educational and Behavioral Statistics, 2014
The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM). Results indicate that the MH-RM algorithm can produce estimates and standard…
Descriptors: Computation, Hierarchical Linear Modeling, Mathematics, Context Effect
Yang, Ji Seung; Cai, Li – Grantee Submission, 2014
The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM; Cai, 2008, 2010a, 2010b). Results indicate that the MH-RM algorithm can…
Descriptors: Computation, Hierarchical Linear Modeling, Mathematics, Context Effect
Yang, Ji Seung; Cai, Li – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2013
The main purpose of this study is to improve estimation efficiency in obtaining full-information maximum likelihood (FIML) estimates of contextual effects in the framework of a nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM; Cai, 2008, 2010a, 2010b). Results indicate that the MH-RM…
Descriptors: Context Effect, Computation, Hierarchical Linear Modeling, Mathematics
Azigwe, John Bosco – Journal of Education and Practice, 2016
International surveys of student achievement are becoming increasingly popular with governments around the world, as they try to measure the performance of their country's education system. The main reason for this trend is the shared opinion that countries will need to be able to compete in the "knowledge economy" to assure the economic…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Abazaoglu, Ilkay; Aztekin, Serdar – Universal Journal of Educational Research, 2016
Teacher motivation is one of the factors that affect the realization of the teaching objectives, motivation and academic achievement of student. This study aimed to answer to the question "How is the relation between the students' academic (sciences and mathematics) achievement and teachers' morale/motivation in Singapore, Japan, Finland and…
Descriptors: Foreign Countries, Teacher Motivation, Statistical Analysis, Hierarchical Linear Modeling
Investigating the Relationship between School Level Accountability Practices and Science Achievement
Gándara, Fernanda; Randall, Jennifer – Education Policy Analysis Archives, 2015
This study investigates the relationship between school-level accountability practices and science achievement of 15-year-olds, across four counties: Australia, Korea, Portugal, and the United States. We used PISA 2006 data, since 2006 is the only administration that has focused on science. School-level accountability practices are here defined as…
Descriptors: Foreign Countries, Accountability, Science Achievement, Correlation
Ma, Vania J.; Ma, Xin – International Journal of STEM Education, 2014
Background: As an effort to account for disparities in mathematics performance between American and East Asian middle school students, the present research aims to compare the relationship between learning styles (competitive and cooperative) and mathematics performance among middle school students between the USA and the three top-performing East…
Descriptors: Cognitive Style, Comparative Analysis, Mathematics Instruction, Mathematics Achievement
Chmielewski, Anna K.; Dumont, Hanna; Trautwein, Ulrich – American Educational Research Journal, 2013
The aim of the present study was to examine how different types of tracking--between-school streaming, within-school streaming, and course-by-course tracking--shape students' mathematics self-concept. This was done in an internationally comparative framework using data from the Programme for International Student Assessment (PISA). After…
Descriptors: Track System (Education), Mathematics Skills, Self Concept, Cross Cultural Studies
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